Increasing Machine Learning Agent's Complexity - Pellet Grabber MLAgents Unity Tutorial #2
Hi all! In this series we will be exploring the Unity MLAgents library. We are using reinforcement learning to develop a neural network for our AI to use to solve problem environments that we create for it.
In this video we walk through creating a more complex environment for our AI to learn in.
Channels I recommend checking out for more MLAgents content:
/ @theashbot4097
/ @codemonkeyunity
Playlist: • Pellet Grabber
0:00 - Intro
0:23 - Env Prefab
0:44 - Change Env
2:07 - OnEpisodeBegin
6:11 - Heuristic
6:39 - OnActionReceived
8:48 - Test 1
9:06 - Bug Fix 1
9:15 - Test 2
9:32 - Bug Fix 2
10:30 - Test 3
11:30 - Normalize
13:02 - Test 4
13:53 - Bug Fix 3
14:48 - Test 5
15:26 - Test Prep
20:57 - Big Fix 4
22:22 - Training
25:41 - Compare old brain to new brain
28:10 - Outro
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